Summary
Shubham Gupta is a Quantitative UX Researcher at Google with ~9 years of experience translating complex data into product-forward insights across retail, finance, ride-hailing and food delivery. He combines rigorous M.Tech training from IIT Bombay with hands-on experience building production ML systems—ETAs, pricing engines and serviceability predictors—that measurably improved user experience and marketplace efficiency. His background spans consultancy and product roles (Fractal, Opera, Gojek, Careem) where he delivered forecasting, causal analysis and A/B frameworks that tied models to business and financial impact. As a thesis supervisor and data science mentor at upGrad, he also guides researchers and professionals through applied research and career transitions, reflecting a strong tilt toward knowledge transfer. Notably, he has a track record of turning textual and call-center data into actionable customer insights and modeling business P&L as interrelated networks—an uncommon blend of signal-processing rigor and product intuition. Based in Bengaluru, he thrives at the intersection of quantitative methods, UX impact and scalable ML engineering.
8 years of coding experience
7 years of employment as a software developer
Indian Institute of Technology Bombay